Sequence space

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In functional analysis and related areas of mathematics, a sequence space is a vector space whose elements are infinite sequences of real or complex numbers. Equivalently, it is a function space whose elements are functions from the natural numbers to the field of real or complex numbers. The set of all such functions is naturally identified with the set of all possible infinite sequences with elements in , and can be turned into a vector space under the operations of pointwise addition of functions and pointwise scalar multiplication. All sequence spaces are linear subspaces of this space. Sequence spaces are typically equipped with a norm, or at least the structure of a topological vector space.

The most important sequence spaces in analysis are the spaces, consisting of the -power summable sequences, with the -norm. These are special cases of spaces for the counting measure on the set of natural numbers. Other important classes of sequences like convergent sequences or null sequences form sequence spaces, respectively denoted and , with the sup norm. Any sequence space can also be equipped with the topology of pointwise convergence, under which it becomes a special kind of Fréchet space called FK-space.

Definition

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A sequence   in a set   is just an  -valued map   whose value at   is denoted by   instead of the usual parentheses notation  .

Space of all sequences

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Let   denote the field either of real or complex numbers. The set   of all sequences of elements of   is a vector space for componentwise addition   and componentwise scalar multiplication  

A sequence space is any linear subspace of  .

As a topological space,   is naturally endowed with the product topology. Under this topology,   is Fréchet, meaning that it is a complete, metrizable, locally convex topological vector space (TVS). However, this topology is rather pathological: there are no continuous norms on   (and thus the product topology cannot be defined by any norm).[1] Among Fréchet spaces,   is minimal in having no continuous norms:

Theorem[1]Let   be a Fréchet space over  . Then the following are equivalent:

  1.   admits no continuous norm (that is, any continuous seminorm on   has a nontrivial null space).
  2.   contains a vector subspace TVS-isomorphic to  .
  3.   contains a complemented vector subspace TVS-isomorphic to  .

But the product topology is also unavoidable:   does not admit a strictly coarser Hausdorff, locally convex topology.[1] For that reason, the study of sequences begins by finding a strict linear subspace of interest, and endowing it with a topology different from the subspace topology.

p spaces

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For  ,   is the subspace of   consisting of all sequences   satisfying  

If  , then the real-valued function   on   defined by   defines a norm on  . In fact,   is a complete metric space with respect to this norm, and therefore is a Banach space.

If   then   is also a Hilbert space when endowed with its canonical inner product, called the Euclidean inner product, defined for all   by   The canonical norm induced by this inner product is the usual  -norm, meaning that   for all  .

If  , then   is defined to be the space of all bounded sequences endowed with the norm     is also a Banach space.

If  , then   does not carry a norm, but rather a metric defined by  

c, c0 and c00

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A convergent sequence is any sequence   such that   exists. The set   of all convergent sequences is a vector subspace of   called the space of convergent sequences. Since every convergent sequence is bounded,   is a linear subspace of  . Moreover, this sequence space is a closed subspace of   with respect to the supremum norm, and so it is a Banach space with respect to this norm.

A sequence that converges to   is called a null sequence and is said to vanish. The set of all sequences that converge to   is a closed vector subspace of   that when endowed with the supremum norm becomes a Banach space that is denoted by   and is called the space of null sequences or the space of vanishing sequences.

The space of eventually zero sequences,  , is the subspace of   consisting of all sequences which have only finitely many nonzero elements. This is not a closed subspace and therefore is not a Banach space with respect to the infinity norm. For example, the sequence   where   for the first   entries (for  ) and is zero everywhere else (that is,     ) is a Cauchy sequence but it does not converge to a sequence in  

Space of all finite sequences

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Let  

denote the space of finite sequences over  . As a vector space,   is equal to  , but   has a different topology.

For every natural number  , let   denote the usual Euclidean space endowed with the Euclidean topology and let   denote the canonical inclusion   The image of each inclusion is   and consequently,  

This family of inclusions gives   a final topology  , defined to be the finest topology on   such that all the inclusions are continuous (an example of a coherent topology). With this topology,   becomes a complete, Hausdorff, locally convex, sequential, topological vector space that is not Fréchet–Urysohn. The topology   is also strictly finer than the subspace topology induced on   by  .

Convergence in   has a natural description: if   and   is a sequence in   then   in   if and only   is eventually contained in a single image   and   under the natural topology of that image.

Often, each image   is identified with the corresponding  ; explicitly, the elements   and   are identified. This is facilitated by the fact that the subspace topology on  , the quotient topology from the map  , and the Euclidean topology on   all coincide. With this identification,   is the direct limit of the directed system   where every inclusion adds trailing zeros:   This shows   is an LB-space.

Other sequence spaces

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The space of bounded series, denote by bs, is the space of sequences   for which  

This space, when equipped with the norm  

is a Banach space isometrically isomorphic to   via the linear mapping  

The subspace   consisting of all convergent series is a subspace that goes over to the space   under this isomorphism.

The space   or   is defined to be the space of all infinite sequences with only a finite number of non-zero terms (sequences with finite support). This set is dense in many sequence spaces.

Properties of p spaces and the space c0

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The space   is the only   space that is a Hilbert space, since any norm that is induced by an inner product should satisfy the parallelogram law

 

Substituting two distinct unit vectors for   and   directly shows that the identity is not true unless  .

Each   is distinct, in that   is a strict subset of   whenever  ; furthermore,   is not linearly isomorphic to   when  . In fact, by Pitt's theorem (Pitt 1936), every bounded linear operator from   to   is compact when  . No such operator can be an isomorphism; and further, it cannot be an isomorphism on any infinite-dimensional subspace of  , and is thus said to be strictly singular.

If  , then the (continuous) dual space of   is isometrically isomorphic to  , where   is the Hölder conjugate of  :  . The specific isomorphism associates to an element   of   the functional   for   in  . Hölder's inequality implies that   is a bounded linear functional on  , and in fact   so that the operator norm satisfies   In fact, taking   to be the element of   with   gives  , so that in fact   Conversely, given a bounded linear functional   on  , the sequence defined by   lies in  . Thus the mapping   gives an isometry  

The map   obtained by composing   with the inverse of its transpose coincides with the canonical injection of   into its double dual. As a consequence   is a reflexive space. By abuse of notation, it is typical to identify   with the dual of  :  . Then reflexivity is understood by the sequence of identifications  .

The space   is defined as the space of all sequences converging to zero, with norm identical to  . It is a closed subspace of  , hence a Banach space. The dual of   is  ; the dual of   is  . For the case of natural numbers index set, the   and   are separable, with the sole exception of  . The dual of   is the ba space.

The spaces   and   (for  ) have a canonical unconditional Schauder basis  , where   is the sequence which is zero but for a   in the  th entry.

The space ℓ1 has the Schur property: In ℓ1, any sequence that is weakly convergent is also strongly convergent (Schur 1921). However, since the weak topology on infinite-dimensional spaces is strictly weaker than the strong topology, there are nets in ℓ1 that are weak convergent but not strong convergent.

The   spaces can be embedded into many Banach spaces. The question of whether every infinite-dimensional Banach space contains an isomorph of some   or of  , was answered negatively by B. S. Tsirelson's construction of Tsirelson space in 1974. The dual statement, that every separable Banach space is linearly isometric to a quotient space of  , was answered in the affirmative by Banach & Mazur (1933). That is, for every separable Banach space  , there exists a quotient map  , so that   is isomorphic to  . In general,   is not complemented in  , that is, there does not exist a subspace   of   such that  . In fact,   has uncountably many uncomplemented subspaces that are not isomorphic to one another (for example, take  ; since there are uncountably many such  's, and since no   is isomorphic to any other, there are thus uncountably many ker Q's).

Except for the trivial finite-dimensional case, an unusual feature of   is that it is not polynomially reflexive.

p spaces are increasing in p

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For  , the spaces   are increasing in  , with the inclusion operator being continuous: for  , one has  . Indeed, the inequality is homogeneous in the  , so it is sufficient to prove it under the assumption that  . In this case, we need only show that   for  . But if  , then   for all  , and then   .

2 is isomorphic to all separable, infinite dimensional Hilbert spaces

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Let   be a separable Hilbert space. Every orthogonal set in   is at most countable (i.e. has finite dimension or  ).[2] The following two items are related:

  • If   is infinite dimensional, then it is isomorphic to  ,
  • If  , then   is isomorphic to  .

Properties of 1 spaces

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A sequence of elements in   converges in the space of complex sequences   if and only if it converges weakly in this space.[3] If   is a subset of this space, then the following are equivalent:[3]

  1.   is compact;
  2.   is weakly compact;
  3.   is bounded, closed, and equismall at infinity.

Here   being equismall at infinity means that for every  , there exists a natural number   such that   for all  .

See also

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References

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  1. ^ a b c Jarchow 1981, pp. 129–130.
  2. ^ Debnath, Lokenath; Mikusinski, Piotr (2005). Hilbert Spaces with Applications. Elsevier. pp. 120–121. ISBN 978-0-12-2084386.
  3. ^ a b Trèves 2006, pp. 451–458.

Bibliography

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